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Data Cleaning Pipeline

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Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation

skills/data-cleaning-pipeline/SKILL.md

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# Data Cleaning Pipeline

## Overview

Data cleaning pipelines transform raw, messy data into clean, standardized formats suitable for analysis and modeling through systematic handling of missing values, outliers, and data quality issues.

## When to Use

- Preparing raw datasets for analysis or modeling
- Handling missing values and data quality issues
- Removing duplicates and standardizing formats
- Detecting and treating outliers
- Building automated data preprocessing workflows
- Ensuring data integrity and consistency
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